Intelligent Inversion of Mechanical Parameters of Surrounding Rock of Underground Water-Sealed Storage Cavern During Construction by CAO Yang-bing, CHEN Ke-xin, HUANG Yue, LI Yao, ZHANG Sui, HUANG Zhen-ping

“…Comprehensively estimating the initial value ranges of the mechanical parameters of the surrounding rock for different classes of rock mass basic quality can avoid large deviations in inversion results caused by the wide optimization range of intelligent algorithms. Sensitivity analysis of the mechanical parameters to the deformation and relaxation of the surrounding rock can reduce the number of inversion parameters. …”
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Simulation and Experimental Study on Vibration and Noise Characteristics of the Main Reducer of an Electric Drive Axle by Cui Yue, Tian Shaopeng, Zou Lin, Wang Xinqiang

“…The relative errors between the test results and simulation analysis results are less than 5%, which verifies the Adams simulation results and the optimization measures, and provides some reference for shortening the development cycle of the electric drive axle main reducer and saving research and development costs.…”
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Hybrid beamforming for ISAC based on mmWave cell-free MIMO by DUO Lin, YANG Xin, REN Yong, XU Boyu

“…The research goal is to design analog and digital beamformers to optimize the weighted sum of communication and radar beamforming errors. …”
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Performance Modeling of Data Storage Systems Using Generative Models by Abdalaziz R. Al-Maeeni, Aziz Temirkhanov, Artem Ryzhikov, Mikhail Hushchyn

“…High-precision systems modeling is one of the main areas of industrial data analysis. Models of systems, their digital twins, are used to predict their behavior under various conditions. …”
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Enhanced Detection and Segmentation of Brain Tumors Using a Dense BW-CNN Approach by Sangeeta Kakarwal, Rahul Mapari, Anuj Kumar Jain, Vipin Sharma, Pranoti Prashant Mane, Jambi Ratna Raja Kumar, Ranjan K. Pradhan

“…However, manual MRI data analysis is time-consuming and prone to errors. Leveraging advancements in Convolutional Neural Networks (CNNs) and optimization algorithms, the proposed BW-DCNN framework utilizes a unique integration of preprocessing, segmentation enhancement, and classification techniques optimized through Black Widow Optimization to improve diagnostic accuracy and efficiency. …”
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Evaluation and prediction of the physical properties and quality of Jatobá-do-Cerrado seeds processed and stored in different conditions using machine learning models by Daniel Fernando Figueiredo Spengler, Paulo Carteri Coradi, Dágila Melo Rodrigues, Izabela Cristina de Oliveira, Dalmo Paim de Oliveira, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro

“…Abstract The conservation of seed quality throughout storage depends on established conditions, monitoring, sampling and laboratory analysis, which are subject to errors and require technical and financial resources. …”
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The impact of BIM on project time and cost: insights from case studies by Karan Das, Salman Khursheed, Virendra Kumar Paul

“…By integrating empirical analysis with practical applications, this research contributes to the growing body of knowledge on BIM adoption and provides actionable insights for AEC professionals seeking to optimize project outcomes.…”
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Enhancing inventory accuracy in dairy industries by Francisco Tiago Araújo Barbosa, Maria Silene Alexandre Leite, Mauro Sergio Carneiro Mascarenhas, Rogerio Santana Peruchi

“… Goal: The goal is to analyze the application of Lean Six Sigma and DMAIC in the inventory management of a dairy industry, aiming to optimize inventory accuracy, reduce picking errors, and enhance OTIF performance, thereby improving overall operational efficiency. …”
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A numerical method for solving ill-posed problems for two-dimensional integral equations of the first kind by Igor Eduardovich Naats, Victoria Igorevna Naats, Roman Andreevich Ryskalenko

“…It uses the theoretical bases and methods of functional analysis, computational mathematics, theory of solution of incorrectly formulated problems of the theory of calculus of variations and optimization methods. …”
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Implementation of a time-temperature-indicator as a shelf life predictive tool for a ready-to-eat salad by Claudia Waldhans, Antonia Albrecht, Rolf Ibald, Dirk Wollenweber, Judith Kreyenschmidt

“…Charging conditions in practice and model improvements can help optimize the process. Nevertheless, the predicted TTI and product shelf lives had generally consistent kinetics, revealing that eliminating systematic errors could help improve the reliability of the app-based system.…”
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Effects of visual interface presentation location and auditory information on takeover performance in multimodal takeover interfaces for high-speed trains by Yunan Jiang, Jinyi Zhi

“…In order to determine the differential effects of visual interface location and auditory interface on takeover efficiency and validity in high-speed train automatic driving scenario, 48 participants were selected to conduct multimodal interface simulation takeover test of high-speed train automatic driving, and the takeover reaction time, takeover completion time, takeover errors, SUS scale and generalized anxiety disorder scale were analyzed by variance analysis and Mann-Whitney U test. …”
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From Patterns to Pills: How Informatics Is Shaping Medicinal Chemistry by Alexander Trachtenberg, Barak Akabayov

“…By identifying and optimizing informacophores through in-depth analysis of ultra-large datasets of potential lead compounds and automating standard parts in the development process, there will be a significant reduction in biased intuitive decisions, which may lead to systemic errors and a parallel acceleration of drug discovery processes.…”
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Analyzing Problems of Decision-Making in Project Management by I. V. Balashova

“…Therefore, the information system should be used as a tool supporting decision-making aimed at collecting, optimizing, analyzing data, finding errors at present and forecasting further steps in project development. …”
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Intelligent design of Fe–Cr–Ni–Al/Ti multi-principal element alloys based on machine learning by Kang Xu, Zhengming Sun, Jian Tu, Wenwang Wu, Huihui Yang

“…Validation experiments on Al5(Fe10Cr35Ni55)95 and Al2Ti1(Fe10Cr35Ni55)97 alloys yielded UTS prediction errors of 7.80% and 2.56%, with corresponding FE errors of 0.35% and 1.09%. …”
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Soil Parameter Inversion in Dredger Fill Strata Using GWO-MLSSVR for Deep Foundation Pit Engineering by Changrui Chen, Sifan Li, Jinbi Ye, Fangjian Chen, Yibin Wu, Jin Yu, Yanyan Cai, Jinna Lin, Xianqi Zhou

“…This study presents an inverse analysis method using Multioutput Least-Squares Support Vector Regression (MLSSVR) optimized by the Gray Wolf Optimization (GWO) algorithm to invert key parameters of the Hardening Soil (HS) model. …”
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Legal Challenges of Marine Insurance Laws in the Use of Unmanned Ships by Mahsa Bahadoran- Baghbaderani, Masoud Shirani, Reza Soltani

“…These include remote control centers and the existence of new risks such as cyber-attacks, hazards from design and programming errors, as well as novel hardware and software components. …”
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Current status and outlook of UWB radar personnel localization for mine rescue by ZHENG Xuezhao, MA Jiawen, HUANG Yuan, LI Qiang, REN Jing, LIU Yu

“…Future research directions of UWB radar personnel localization technology for mine rescue operations are proposed: ① optimizing the UWB radar localization system by constructing cross-modal information fusion models and developing highly adaptive signal processing methods to enhance the system's adaptability to post-mining disaster environments; ② improving the applicability of combined static and dynamic target localization by developing hybrid localization algorithms that integrate Bayesian networks or deep belief networks to fuse static and dynamic target features and establishing state-switching-based comprehensive models; ③ improving UWB radar echo processing algorithms, combining adaptive beamforming technology, Multiple Input Multiple Output (MIMO) technology, and optimized K-means++ or entropy-based hierarchical analysis algorithms, effectively distinguishing multi-target position information, and validating their adaptability and reliability in complex environments through extensive simulation experiments.…”
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Collaborative Planning for Distribution Network and PV-ESS in the Marketization Environment by Ping RAO, Yue XIANG, Haotian YAO, Youbo LIU, Junyong LIU

“…The double-layer improved particle swarm optimization algorithm was applied to run the model. …”
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Improved weighted sum estimation of total radiated power at W7-X by G. Partesotti, F. Reimold, A. Tsikouras, D. Zhang, G. Kawamura, B.J. Peterson, the W7-X Team

“…First, we generate synthetic radiated power phantoms with characteristic W7-X radiation features to derive a set of optimized line-of-sight weights. Then, we test the weights on mock-ups and EMC3-EIRENE radiation patterns, including acquisition and analysis errors such as random noise fluctuations, camera misalignments, and field errors. …”
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Automatic Correction System for Learning Activities in Remote-Access Laboratories in the Mechatronics Area by Guido S. Machado, Thiago R. M. Salgado, Florindo A. C. Ayres, Iury V. Bessa, Renan L. P. Medeiros, Vicente F. Lucena

“…The digital twin captures data from the teacher’s and student’s experiments, allowing accurate comparisons to identify successes and errors. The application of CNNs serves to validate the results of the experiments through image analysis, whereas generative AI helps to identify patterns. …”
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